
\begin{table}[ht!]
\begin{center}
\begin{tabular}{l c c c c}
\toprule
 & Model 1 & Model 2 & Model 3 & Model 4 \\
\midrule
Black                      & $-0.67^{*}$ & $-0.82^{**}$ & $-0.74^{*}$ & $-0.77^{*}$    \\
                           & $(0.33)$    & $(0.31)$     & $(0.33)$    & $(0.35)$       \\
Hispanic                   & $0.13$      & $0.28$       & $0.11$      & $0.12$         \\
                           & $(0.31)$    & $(0.31)$     & $(0.32)$    & $(0.34)$       \\
Asian/AI/AN/PI             & $0.91$      & $1.04$       & $0.96$      & $0.98$         \\
                           & $(0.58)$    & $(0.64)$     & $(0.60)$    & $(0.68)$       \\
Closest Trauma (10s miles) & $0.41$      & $0.19$       & $0.45^{*}$  & $0.50^{*}$     \\
                           & $(0.21)$    & $(0.18)$     & $(0.21)$    & $(0.21)$       \\
Houston                    & $-0.21$     &              & $-0.19$     & $15.17^{***}$  \\
                           & $(0.63)$    &              & $(0.59)$    & $(0.64)$       \\
King County                & $-0.12$     &              & $-0.17$     & $14.02^{***}$  \\
                           & $(0.81)$    &              & $(0.79)$    & $(1.89)$       \\
Los Angeles                & $1.15$      &              & $1.18^{*}$  & $16.96^{***}$  \\
                           & $(0.62)$    &              & $(0.58)$    & $(0.48)$       \\
Orlando                    & $0.52$      &              & $0.50$      & $15.56^{***}$  \\
                           & $(0.70)$    &              & $(0.67)$    & $(0.83)$       \\
San Jose                   & $0.16$      &              & $0.18$      & $15.38^{***}$  \\
                           & $(0.69)$    &              & $(0.67)$    & $(1.22)$       \\
Seattle                    & $1.27$      &              & $1.20$      & $16.66^{***}$  \\
                           & $(0.77)$    &              & $(0.76)$    & $(0.93)$       \\
Tucson                     & $1.64^{*}$  &              & $1.54^{*}$  & $32.32^{***}$  \\
                           & $(0.73)$    &              & $(0.69)$    & $(0.67)$       \\
2011                       &             & $0.51$       & $0.33$      & $0.88^{**}$    \\
                           &             & $(0.41)$     & $(0.40)$    & $(0.33)$       \\
2012                       &             & $0.25$       & $0.33$      & $33.51^{***}$  \\
                           &             & $(0.43)$     & $(0.42)$    & $(0.24)$       \\
2013                       &             & $0.34$       & $0.30$      & $16.43^{***}$  \\
                           &             & $(0.43)$     & $(0.42)$    & $(0.95)$       \\
2014                       &             & $0.63$       & $0.63$      & $15.24^{***}$  \\
                           &             & $(0.47)$     & $(0.45)$    & $(1.14)$       \\
2015                       &             & $0.20$       & $0.27$      & $17.38^{***}$  \\
                           &             & $(0.44)$     & $(0.42)$    & $(1.03)$       \\
2016                       &             & $0.13$       & $0.28$      & $1.29$         \\
                           &             & $(0.44)$     & $(0.41)$    & $(1.43)$       \\
2017                       &             & $-0.13$      & $-0.09$     & $1.29$         \\
                           &             & $(0.52)$     & $(0.50)$    & $(1.44)$       \\
Intercept                  & $-1.00$     & $-0.31$      & $-1.27$     & $-16.83^{***}$ \\
                           & $(0.64)$    & $(0.41)$     & $(0.66)$    & $(0.11)$       \\
\midrule
pseudo.r.squared           & $0.10$      & $0.05$       & $0.10$      & $0.15$         \\
nobs                       & $1250$      & $1250$       & $1250$      & $1250$         \\
AIC                        & $1586.54$   & $1664.18$    & $1590.08$   & $1586.12$      \\
BIC                        & $1648.11$   & $1725.75$    & $1687.56$   & $1899.10$      \\
Log Likelihood             & $-781.27$   & $-820.09$    & $-776.04$   & $-732.06$      \\
\bottomrule
\multicolumn{5}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Estimated relationship between civilian race and probability of fatality conditional upon being involved in an officer-involved shooting. Cells show logistic coefficients with clustered-robust standard errors. Omitted category is white civilians, Charlotte and the year 2010.}
\label{tab:logistic_FE}
\end{center}
\end{table}
